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Abstract:

Neurons rely on complex axonal transport mechanisms that mediate the intracellular dynamics of proteins, vesicles, and mitochondria along their high polarized structure. The fast improvement of live imaging techniques of fluorescent cargos allowed the identification of the diverse motion properties of different transported molecules. These properties arise as the result of molecular interactions between many players involved in axonal transport. Motor proteins, microtubule tracks, cargo association, and even axonal viscosity contribute to the proper axonal dynamics of different cargos. The unique properties in each cargo determine their distribution and location that is relevant to ensure neuronal cell activity and survival. This chapter provides a computational-based method for the generation of cargo trajectories and the identification of different motion regimes while cargo moves along axons. Then, the procedure to extract relevant parameters from active, diffusive, and confined motion is provided. These properties will allow a better comprehension of the nature and characteristics of cargo motion in living cells, therefore contributing to understanding the consequences of transport defects that arise during diseases of the nervous system. © Springer Science+Business Media, LLC 2018.

Registro:

Documento: Artículo
Título:Methods for quantitative analysis of axonal cargo transport
Autor:Alloatti, M.; Bruno, L.; Falzone, T.L.
Filiación:Instituto de Biología Celular y Neurociencias (IBCN) CONICET-UBA, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
Facultad de Ciencias Exactas y Naturales, Departamento de Física (IFIBA) CONICET, Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto de Biología y Medicina Experimental (IBYME) CONICET, Buenos Aires, Argentina
Palabras clave:Anterograde; Axonal transport; Diffusive; Pauses; Retrograde; Reversions; Run lengths; Segmental velocities; animal cell; animal cell culture; DNA vector; genetic transfection; human; human cell; human cell culture; imaging; mouse; nerve cell culture; nerve fiber transport; nonhuman; pluripotent stem cell; quantitative analysis; rat; animal; axon; biology; cytology; metabolism; molecular imaging; nerve cell; nerve fiber transport; procedures; software; Animals; Axonal Transport; Axons; Computational Biology; Humans; Mice; Molecular Imaging; Neurons; Rats; Software
Año:2018
Volumen:1727
Página de inicio:217
Página de fin:226
DOI: http://dx.doi.org/10.1007/978-1-4939-7571-6_16
Título revista:Methods in Molecular Biology
Título revista abreviado:Methods Mol. Biol.
ISSN:10643745
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10643745_v1727_n_p217_Alloatti

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Citas:

---------- APA ----------
Alloatti, M., Bruno, L. & Falzone, T.L. (2018) . Methods for quantitative analysis of axonal cargo transport. Methods in Molecular Biology, 1727, 217-226.
http://dx.doi.org/10.1007/978-1-4939-7571-6_16
---------- CHICAGO ----------
Alloatti, M., Bruno, L., Falzone, T.L. "Methods for quantitative analysis of axonal cargo transport" . Methods in Molecular Biology 1727 (2018) : 217-226.
http://dx.doi.org/10.1007/978-1-4939-7571-6_16
---------- MLA ----------
Alloatti, M., Bruno, L., Falzone, T.L. "Methods for quantitative analysis of axonal cargo transport" . Methods in Molecular Biology, vol. 1727, 2018, pp. 217-226.
http://dx.doi.org/10.1007/978-1-4939-7571-6_16
---------- VANCOUVER ----------
Alloatti, M., Bruno, L., Falzone, T.L. Methods for quantitative analysis of axonal cargo transport. Methods Mol. Biol. 2018;1727:217-226.
http://dx.doi.org/10.1007/978-1-4939-7571-6_16